{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [自定义图表图例](04.06-Customizing-Legends.ipynb) | [目录](Index.ipynb) | [多个子图表](04.08-Multiple-Subplots.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.07-Customizing-Colorbars.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Customizing Colorbars\n",
    "\n",
    "# 个性化颜色条"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Plot legends identify discrete labels of discrete points.\n",
    "For continuous labels based on the color of points, lines, or regions, a labeled colorbar can be a great tool.\n",
    "In Matplotlib, a colorbar is a separate axes that can provide a key for the meaning of colors in a plot.\n",
    "Because the book is printed in black-and-white, this section has an accompanying online supplement where you can view the figures in full color (https://github.com/jakevdp/PythonDataScienceHandbook).\n",
    "We'll start by setting up the notebook for plotting and importing the functions we will use:\n",
    "\n",
    "图例可以将离散的点标示为离散的标签。对于建立在不同颜色之上的连续的值（点线面）来说，标注了的颜色条是非常方便的工具。Matplotlib的颜色条是独立于图表之外的一个类似于比色卡的图形，用来展示图表中不同颜色的数值含义。因为本书是使用黑白打印的，本节内容中的所有带色彩的图都可以在(https://github.com/wangyingsm/Python-Data-Science-Handbook)中找到。我们还是首先导入本节需要的包和模块："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('classic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> As we have seen several times throughout this section, the simplest colorbar can be created with the ``plt.colorbar`` function:\n",
    "\n",
    "通过`plt.colorbar`函数可以创建最简单的颜色条，在本节中我们会多次看到："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 1000)\n",
    "I = np.sin(x) * np.cos(x[:, np.newaxis])\n",
    "\n",
    "plt.imshow(I)\n",
    "plt.colorbar();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We'll now discuss a few ideas for customizing these colorbars and using them effectively in various situations.\n",
    "\n",
    "我们下面来讨论如何个性化颜色条以及在不同的场合高效的使用它们。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Customizing Colorbars\n",
    "\n",
    "## 自定义颜色条\n",
    "\n",
    "> The colormap can be specified using the ``cmap`` argument to the plotting function that is creating the visualization:\n",
    "\n",
    "颜色条可以通过`cmap`参数指定使用的色谱系统（或叫色图）："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(I, cmap='gray');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> All the available colormaps are in the ``plt.cm`` namespace; using IPython's tab-completion will give you a full list of built-in possibilities:\n",
    "\n",
    "所有可用的色图都可以在`plt.cm`模块中找到；在IPython中使用Tab自动补全功能能列出所有的色图列表：\n",
    "\n",
    "```\n",
    "plt.cm.<TAB>\n",
    "```\n",
    "\n",
    "> But being *able* to choose a colormap is just the first step: more important is how to *decide* among the possibilities!\n",
    "The choice turns out to be much more subtle than you might initially expect.\n",
    "\n",
    "但是知道在哪里选择色图只是第一步：更重要的是在各种选项中选出合适的色图。这个选择比你预料的要微妙的多。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Choosing the Colormap\n",
    "\n",
    "### 选择色图\n",
    "\n",
    "> A full treatment of color choice within visualization is beyond the scope of this book, but for entertaining reading on this subject and others, see the article [\"Ten Simple Rules for Better Figures\"](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833).\n",
    "Matplotlib's online documentation also has an [interesting discussion](http://Matplotlib.org/1.4.1/users/colormaps.html) of colormap choice.\n",
    "\n",
    "在可视化方案中选择颜色完整的介绍说明超出了本书的范围，如果你对这个课题和相关内容有兴趣，可以参考文章[\"绘制更漂亮图表的10个简单规则\"](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833)。Matplotlib的在线文档也有一章关于色图选择的[有趣讨论](http://Matplotlib.org/1.4.1/users/colormaps.html)。\n",
    "\n",
    "> Broadly, you should be aware of three different categories of colormaps:\n",
    "\n",
    "> - *Sequential colormaps*: These are made up of one continuous sequence of colors (e.g., ``binary`` or ``viridis``).\n",
    "> - *Divergent colormaps*: These usually contain two distinct colors, which show positive and negative deviations from a mean (e.g., ``RdBu`` or ``PuOr``).\n",
    "> - *Qualitative colormaps*: these mix colors with no particular sequence (e.g., ``rainbow`` or ``jet``).\n",
    "\n",
    "通常来说，你应该注意以下三种不同类型的色图：\n",
    "\n",
    "- *序列色图*：这类型的色谱只包括一个连续序列的色系（例如`binary`或`viridis`）。\n",
    "- *分化色图*：这类型的色谱包括两种独立的色系，这两种颜色有着非常大的对比度（例如`RdBu`或`PuOr`）。\n",
    "- *定性色图*：这类型的色图混合了非特定连续序列的颜色（例如`rainbow`或`jet`）。\n",
    "\n",
    "> The ``jet`` colormap, which was the default in Matplotlib prior to version 2.0, is an example of a qualitative colormap.\n",
    "Its status as the default was quite unfortunate, because qualitative maps are often a poor choice for representing quantitative data.\n",
    "Among the problems is the fact that qualitative maps usually do not display any uniform progression in brightness as the scale increases.\n",
    "\n",
    "`jet`色图，在Matplotlib 2.0版本之前都是默认的色图，是定性色图的一个例子。`jet`作为默认色图的位置其实有点尴尬，因为定性图通常都不是对定量数据进行展示的好选择。原因是定性图通常都不能在范围增加时提供亮度的均匀增长。\n",
    "\n",
    "> We can see this by converting the ``jet`` colorbar into black and white:\n",
    "\n",
    "我们可以通过将`jet`颜色条转换为黑白来看到这点："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "\n",
    "def grayscale_cmap(cmap):\n",
    "    \"\"\"返回给定色图的灰度版本\"\"\"\n",
    "    cmap = plt.cm.get_cmap(cmap) # 使用名称获取色图对象\n",
    "    colors = cmap(np.arange(cmap.N)) # 将色图对象转为RGBA矩阵，形状为N×4\n",
    "    \n",
    "    # 将RGBA颜色转换为灰度\n",
    "    # 参考 http://alienryderflex.com/hsp.html\n",
    "    RGB_weight = [0.299, 0.587, 0.114] # RGB三色的权重值\n",
    "    luminance = np.sqrt(np.dot(colors[:, :3] ** 2, RGB_weight)) # RGB平方值和权重的点积开平方根\n",
    "    colors[:, :3] = luminance[:, np.newaxis] # 得到灰度值矩阵\n",
    "    # 返回相应的灰度值色图\n",
    "    return LinearSegmentedColormap.from_list(cmap.name + \"_gray\", colors, cmap.N)\n",
    "    \n",
    "\n",
    "def view_colormap(cmap):\n",
    "    \"\"\"将色图对应的灰度版本绘制出来\"\"\"\n",
    "    cmap = plt.cm.get_cmap(cmap)\n",
    "    colors = cmap(np.arange(cmap.N))\n",
    "    \n",
    "    cmap = grayscale_cmap(cmap)\n",
    "    grayscale = cmap(np.arange(cmap.N))\n",
    "    \n",
    "    fig, ax = plt.subplots(2, figsize=(6, 2),\n",
    "                           subplot_kw=dict(xticks=[], yticks=[]))\n",
    "    ax[0].imshow([colors], extent=[0, 10, 0, 1])\n",
    "    ax[1].imshow([grayscale], extent=[0, 10, 0, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABsCAYAAADJ2WELAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAEIUlEQVR4nO3bYXKrNhQG0AtkOdlku61sraD+COnzuIANMdcIzplhRGRsI2I+sCw1pZQAIEf77h0AuBKhC5BI6AIkEroAiYQuQKKPpQebpjG0AWCDUkozVb8Yut/+johu3PQ35Ste4yP+3Jzftad7cvlYse2er5G2L2Us+4huiOj6aLshuruy/eij64Zo2z66dog2+uhiiDaG6KKfLP9sM1duee78c37z3EPt6zBEOwzR9X20/RBdH9F+/2si+ohmLKOPiOFmvbb6nd+zjPX9zfJPH9EPN+W4+dpyy3Nun/tXzLtW98LkdQcgz7VCV2cJnMYe91AZ92XXCl2AN6s0dE/QT3CCJsw7XuPm9+h4+1qdNx3Cny+ur3z7jC/DlYbuRs4v4M0qDd2N16Mj9ekeaV9e7niNm9+j4+1rdd50CH/uoV759vp0X82dLvBm1wpdgDcTurXz7ZiL2uOj74e0VztjQOkygapcK3TPGFBnvJDAE0yOqMEZA+qMFxI4sUpD9wRJc4ImzDte40yO2JHJEatUGroAdao0dDdej450U3PGro7/HK9xJkfsyOSIVSoNXYA6CV2gSsbpAvDQtUJX9x2chnG6NTjSD2nAJVUauidIzxM0Yd7xGmec7o6M012l0tDdSPcC8GaVhq5xusd2vMYZp7sj43RXqTR0Aep0rdB1UwO82bVC90jdC8CvmBxRA3e6wJtdK3SB0zA5oga6F4A3qzR0T5CeJ2jCvOM1zuSIHZkcsUqloQtQp0pD9wS/iJ2gCfOO1ziTI3ZkcsS69yhlfpebpvGJBNiglDKZ4YuhC8BrVdq9AFAnoQuQSOgCJBK6AImELkAioQuQSOgCJBK6AImELkAioQuQSOgCJBK6AImELkAioQuQSOgCJBK6AImELkAioQuQSOgCJBK6AImELkAioQuQSOgCJBK6AImELkCij6UHm6YpWTsCcCallGaqfjF0IyI+Pz+jaZr/LW3b/rp+62s862fbqfJ+iYin9mdq/bZ8dv12mat/9TL1PlN1Mx+gh8f7mW1u/w9rt7mvu/17zfp9OffYo8/PUt2j9VLK7DIMQwzD8HB9bd1t+ahuaX2p7tEy1fbbup/1pfJ+/ae9zy63x2iv7b6+vmKO7gWAREIXIJHQBUgkdEdr+ooB58xWQhcgkdAdPfvLO/DNObON0AVIJHQBEgldgERCFyCR0AVIJHQBEgndkYHesI5zZhuhC5BI6I4M9IZ1nDPbCF2AREIXIJHQBUgkdAESCV2AREJ3ZMwhrOOc2UboAiQSuiNjDmEd58w2QhcgkdAFSCR0ARIJXYBEQhcgkdAFSCR0RwZ6wzrOmW2ELkAioTsy0BvWcc5s0ywduKZpHFWADUopk/0vi6ELwGvpXgBIJHQBEgldgERCFyCR0AVI9C8rI6juQLLk0QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x144 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_colormap('jet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Notice the bright stripes in the grayscale image.\n",
    "Even in full color, this uneven brightness means that the eye will be drawn to certain portions of the color range, which will potentially emphasize unimportant parts of the dataset.\n",
    "It's better to use a colormap such as ``viridis`` (the default as of Matplotlib 2.0), which is specifically constructed to have an even brightness variation across the range.\n",
    "Thus it not only plays well with our color perception, but also will translate well to grayscale printing:\n",
    "\n",
    "注意一下上面的灰度图中亮条纹的位置。即使在上述彩色图中，也出现了这种不规则的亮条纹，这会导致眼睛被区域中亮条纹所吸引，这很可能造成阅读者被不重要的数据集部分干扰了。更好的选择是使用类似`viridis`这样的色图（Matplotlib 2.0后默认色图），它们被设计为有着均匀的亮度变化。因此它们无论是在彩色图中还是在灰度图中都有着同样的亮度变化："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_colormap('viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If you favor rainbow schemes, another good option for continuous data is the ``cubehelix`` colormap:\n",
    "\n",
    "如果你更喜欢彩虹方案，另一个好的选择是使用`cubehelix`色图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_colormap('cubehelix')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> For other situations, such as showing positive and negative deviations from some mean, dual-color colorbars such as ``RdBu`` (*Red-Blue*) can be useful. However, as you can see in the following figure, it's important to note that the positive-negative information will be lost upon translation to grayscale!\n",
    "\n",
    "对于其他的情况，例如某种正负分布的数据集，双色颜色条如`RdBu`（*Red-Blue*）会很常用。然而正如你从下面例子看到的，如果将双色颜色条转化为灰度的话，正负或两级的信息就会丢失："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_colormap('RdBu')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We'll see examples of using some of these color maps as we continue.\n",
    "\n",
    "后面我们会看到更多使用这些色图的例子。\n",
    "\n",
    "> There are a large number of colormaps available in Matplotlib; to see a list of them, you can use IPython to explore the ``plt.cm`` submodule. For a more principled approach to colors in Python, you can refer to the tools and documentation within the Seaborn library (see [Visualization With Seaborn](04.14-Visualization-With-Seaborn.ipynb)).\n",
    "\n",
    "Matplotlib中有大量可用的色图；要看到它们的列表，你可以使用IPython来探索`plt.cm`模块。要在Python中更加正规的使用颜色，你可以查看Seaborn库的工具和文档（参见[使用Seaborn进行可视化](04.14-Visualization-With-Seaborn.ipynb)）。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Color limits and extensions\n",
    "\n",
    "### 颜色限制和扩展\n",
    "\n",
    "> Matplotlib allows for a large range of colorbar customization.\n",
    "The colorbar itself is simply an instance of ``plt.Axes``, so all of the axes and tick formatting tricks we've learned are applicable.\n",
    "The colorbar has some interesting flexibility: for example, we can narrow the color limits and indicate the out-of-bounds values with a triangular arrow at the top and bottom by setting the ``extend`` property.\n",
    "This might come in handy, for example, if displaying an image that is subject to noise:\n",
    "\n",
    "Matplotlib允许你对颜色条进行大量的自定义。颜色条本身就是一个`plt.Axes`对象，因此所有轴和刻度定制的技巧都可以应用在上面。颜色条也有着一些有趣的自定义行为：例如，我们可以缩小颜色的范围并且通过设置`extend`参数将超出范围之外的数值展示为顶部和底部的三角箭头形状。这对于展示一些受到噪声干扰的数据时非常方便："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x252 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在I数组中人为生成不超过1%的噪声\n",
    "speckles = (np.random.random(I.shape) < 0.01)\n",
    "I[speckles] = np.random.normal(0, 3, np.count_nonzero(speckles))\n",
    "\n",
    "plt.figure(figsize=(10, 3.5))\n",
    "# 不考虑去除噪声时的颜色分布\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(I, cmap='RdBu')\n",
    "plt.colorbar()\n",
    "# 设置去除噪声时的颜色分布\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(I, cmap='RdBu')\n",
    "plt.colorbar(extend='both')\n",
    "plt.clim(-1, 1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Notice that in the left panel, the default color limits respond to the noisy pixels, and the range of the noise completely washes-out the pattern we are interested in.\n",
    "In the right panel, we manually set the color limits, and add extensions to indicate values which are above or below those limits.\n",
    "The result is a much more useful visualization of our data.\n",
    "\n",
    "注意到在左边的图表中，默认的颜色阈值是包括了噪声的，因此整体的条纹形状都被噪声数据冲刷淡化了。而右边的图表，我们手动设置了颜色的阈值，并在绘制颜色条是加上了`extend`参数来表示超出阈值的数据。对于我们的数据来说，右图比左图要好的多。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discrete Color Bars\n",
    "\n",
    "### 离散颜色条\n",
    "\n",
    "> Colormaps are by default continuous, but sometimes you'd like to represent discrete values.\n",
    "The easiest way to do this is to use the ``plt.cm.get_cmap()`` function, and pass the name of a suitable colormap along with the number of desired bins:\n",
    "\n",
    "色图默认是连续的，但是在某些情况下你可能需要展示离散值。最简单的方法是使用`plt.cm.get_cmap()`函数，在传递某个色图名称的同时，还额外传递一个颜色分桶的数量值参数给该函数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(I, cmap=plt.cm.get_cmap('Blues', 6))\n",
    "plt.colorbar()\n",
    "plt.clim(-1, 1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The discrete version of a colormap can be used just like any other colormap.\n",
    "\n",
    "离散色图的使用方式和其他色图没有任何区别。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example: Handwritten Digits\n",
    "\n",
    "## 例子：手写数字\n",
    "\n",
    "> For an example of where this might be useful, let's look at an interesting visualization of some hand written digits data.\n",
    "This data is included in Scikit-Learn, and consists of nearly 2,000 $8 \\times 8$ thumbnails showing various hand-written digits.\n",
    "\n",
    "最后我们来看一个很有实用价值的例子，让我们实现对一些手写数字图像数据的可视化分析。这个数据包含在Sciki-Learn中，以供包含有将近2,000张 $8 \\times 8$ 大小的不同笔迹的手写数字缩略图。\n",
    "\n",
    "> For now, let's start by downloading the digits data and visualizing several of the example images with ``plt.imshow()``:\n",
    "\n",
    "首先，我们下载这个数据集，然后使用`plt.imshow()`将其中部分数据展示出来："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读取数字0-5的手写图像，然后使用Matplotlib展示头64张缩略图\n",
    "from sklearn.datasets import load_digits\n",
    "digits = load_digits(n_class=6)\n",
    "\n",
    "fig, ax = plt.subplots(8, 8, figsize=(6, 6))\n",
    "for i, axi in enumerate(ax.flat):\n",
    "    axi.imshow(digits.images[i], cmap='binary')\n",
    "    axi.set(xticks=[], yticks=[])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Because each digit is defined by the hue of its 64 pixels, we can consider each digit to be a point lying in 64-dimensional space: each dimension represents the brightness of one pixel.\n",
    "But visualizing relationships in such high-dimensional spaces can be extremely difficult.\n",
    "One way to approach this is to use a *dimensionality reduction* technique such as manifold learning to reduce the dimensionality of the data while maintaining the relationships of interest.\n",
    "Dimensionality reduction is an example of unsupervised machine learning, and we will discuss it in more detail in [What Is Machine Learning?](05.01-What-Is-Machine-Learning.ipynb).\n",
    "\n",
    "因为每个数字都是使用64个像素点渲染出来的，我们可以认为每个数字是一个64维空间中的点：每个维度代表这其中一个像素的灰度值。但是要在图表中将这么高维度空间的联系可视化出来是非常困难的。有一种做法是使用*降维*技术，比方说使用流形学习来减少数据的维度然而不会丢失数据中有效的信息。降维技术是无监督机器学习的一个例子，我们会在[什么是机器学习？](05.01-What-Is-Machine-Learning.ipynb)中更加详细的介绍它们。\n",
    "\n",
    "> Deferring the discussion of these details, let's take a look at a two-dimensional manifold learning projection of this digits data (see [In-Depth: Manifold Learning](05.10-Manifold-Learning.ipynb) for details):\n",
    "\n",
    "这些细节我们放在后面（参见[深入：流形学习](05.10-Manifold-Learning.ipynb)）讨论，我们来看一下将这些手写数字图像数据映射到二维流形学习当中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用Isomap将手写数字图像映射到二维流形学习中\n",
    "from sklearn.manifold import Isomap\n",
    "iso = Isomap(n_components=2)\n",
    "projection = iso.fit_transform(digits.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We'll use our discrete colormap to view the results, setting the ``ticks`` and ``clim`` to improve the aesthetics of the resulting colorbar:\n",
    "\n",
    "我们使用离散颜色条来展示结果，设置`ticks`和`clim`来进一步美化结果的颜色条："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制图表结果\n",
    "plt.scatter(projection[:, 0], projection[:, 1], lw=0.1,\n",
    "            c=digits.target, cmap=plt.cm.get_cmap('cubehelix', 6))\n",
    "plt.colorbar(ticks=range(6), label='digit value')\n",
    "plt.clim(-0.5, 5.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The projection also gives us some interesting insights on the relationships within the dataset: for example, the ranges of 5 and 3 nearly overlap in this projection, indicating that some hand written fives and threes are difficult to distinguish, and therefore more likely to be confused by an automated classification algorithm.\n",
    "Other values, like 0 and 1, are more distantly separated, and therefore much less likely to be confused.\n",
    "This observation agrees with our intuition, because 5 and 3 look much more similar than do 0 and 1.\n",
    "\n",
    "我们从流形学习中的映射中可以观察到一些有趣现象：例如，图表中5和3有一些重叠的部分，这表示一些手写体中5和3是比较难以辨别的，因此对于自动识别算法来说这是比较容易混淆的部分。而0和1，它们在图表中距离很远，这表示两者比较容易辨别，不太可能造成混淆。这个图表分析与我们的直觉一致，因为5和3显然比0和1看起来更加接近。\n",
    "\n",
    "> We'll return to manifold learning and to digit classification in [Chapter 5](05.00-Machine-Learning.ipynb).\n",
    "\n",
    "我们会在[第五章](05.00-Machine-Learning.ipynb)再次看到流形学习和手写数字分类。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [自定义图表图例](04.06-Customizing-Legends.ipynb) | [目录](Index.ipynb) | [多个子图表](04.08-Multiple-Subplots.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.07-Customizing-Colorbars.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
